<b>ESG Rating Divergence and Corporate Financing Efficiency</b><b>——Empirical Evidence fro

Panel data from 2015 to 2024 for Chinese A-share listed new energy enterprises, used to measure total factor financing efficiency and examine the impact of ESG rating divergence. The dataset was created by Yuxi Mao and last updated on 2026-04-14. It is stored in a CSV file sized at 1015.2 KB.

Use Cases

• Modeling the impact of ESG rating divergence on financing efficiency based on panel data.
• Conducting heterogeneity analysis on firm characteristics like scale, market power, and ownership type.
• Investigating mechanisms linking ESG divergence to financing constraints, financial distress, and corporate reputation.
• Benchmarking financing efficiency for new energy enterprises using the DEA-BCC model methodology.

Strengths

• Data covers a 10-year time range from 2015 to 2024.
• Focuses on a specific sector and geography: Chinese A-share listed new energy enterprises.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Yuxi Mao.

Collection Method

Likely compiled from financial and ESG disclosures of listed companies.

Time Range

2015-2024

Freshness

Last updated 2026-04-14 12:00:20; freshness should be verified.

Geography

China